mlogit的格式化数据

Question

我在通过mlogit获取多项逻辑分析的数据集方面有一段时间。我的数据集可以从下面的代码中的url获得。

我得到了以下错误：

row.names<-.data.frame中的错误(*tmp*，value = c("1.Accessible"，“1.Accessible”)，：重复的'row.names‘是不允许的

我在其他地方查过了，这个问题似乎出现了。我尝试过使用alt.levels而不是alt.var参数，但这是行不通的。

#Loadpackages 
library(RCurl)
library(mlogit)
library(tidyr)
library(dplyr)
#URL where data is stored
dat.url<-   'https://raw.githubusercontent.com/sjkiss/Survey/master/mlogit.out.csv'
#Get data
dat<-read.csv(dat.url)
#Complete cases only as it seems mlogit cannot handle missing values or tied data which in this case you might get because of median imputation
dat<-dat[complete.cases(dat),]
#Tidy data to get it into long format
dat.out<-dat %>%
gather(Open, Rank, -c(1,9:12)) 
#Try to replicate code on pp.26-27 of http://cran.r-   project.org/web/packages/mlogit/vignettes/mlogit.pdf
mlogit.out<-mlogit.data(dat.out, shape='long',alt.var='Open',choice='Rank', id.var='X',ranked=TRUE)
#Try this option as per a discussion on stackexchange
mlogit.out<-mlogit.data(dat.out,     shape='long',alt.levels='Open',choice='Rank', id.var='X',ranked=TRUE)

Answer 1

dat.out<-dat %>%
gather(Open, Rank, -c(1,9:12)) %>%    
arrange(X, Open, Rank)
    mlogit.out<-mlogit.data(dat.out, shape='long',alt.var='Open',choice='Rank', ranked=TRUE,child.var='X')

head(mlogit.out)
              X economic gender  age                     Job        Open  Rank
1.Accessible  1        5   Male 1970 Professional journalist  Accessible FALSE
1.Information 1        5   Male 1970 Professional journalist Information FALSE
1.Responsive  1        5   Male 1970 Professional journalist  Responsive  TRUE
1.Debate      1        5   Male 1970 Professional journalist      Debate FALSE
1.Officials   1        5   Male 1970 Professional journalist   Officials FALSE
1.Social      1        5   Male 1970 Professional journalist      Social FALSE

Answer 2

我的建议是在nnet包中尝试多点()函数。它不需要特殊格式的mlogit或mnlogit。

library(RCurl)
library(nnet)

Data<-getURL("https://raw.githubusercontent.com/sjkiss/Survey/master/mlogit.out.csv")
Data<-read.csv(text=Data,header=T)
Data<-na.omit(Data) # Get rid of NA's
Data<-as.data.frame(Data)
# relevel the dependent variable (must be a factor)
Data$Job<-factor(Data$Job)
# Using "Online Blogger" as the reference, substitute with your choice
Data$Job<-relevel(Data$Job,ref="Online blogger")
# Run the multinomial logistic regression
# (seems like an awful lot of variables btw)
Data<-multinom(formula=Job~Accessible+Information+Responsive+Debate+Officials+Social+Trade.Offs+economic+gender+age,data=Data)